Evidence map›Paper›PMID 41040853›Full record

ReviewFrontiers in endocrinology2025

The strategic role of lipidomics in biomarker identification and diagnosis of gynecological diseases.

Menghui Hou, Xinying Chu, Shuxin Wang, Qingyue Zhang, Mingjie Ma, Jing Ma

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Menghui Hou *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.
Xinying Chu *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.
Shuxin WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.
Qingyue ZhangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.
Mingjie MaFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.
Jing MaFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipidomics, an emerging field in medical research, has deepened our understanding of lipid metabolism, signal transduction pathways, and intercellular communication through qualitative and quantitative analyses of patient lipid profiles. It has closely linked these biological processes to the occurrence and progression of diseases, opening new avenues of research and providing new perspectives on the diagnosis, treatment, and personalized medicine of clinical diseases. Gynecological diseases have a profound impact on women's health but often face challenges due to delayed diagnosis and inadequate treatment options. Lipids play a crucial role in regulating cell proliferation, differentiation, and signal transduction, making them significant in the occurrence and development of gynecological diseases. The technological progress in lipidomics has greatly advanced our comprehension of lipid metabolism and biochemical mechanisms in these diseases, while also offering new technical pathways for identifying potential biomarkers. Thus, this review summarized the application of lipidomics in gynecological diseases, especially those with high incidence rates such as ovarian cancer, cervical cancer, and endometriosis, to assesses its application potential in the diagnosis, prognosis monitoring, and development of new treatment strategies for gynecological diseases, and discusses its future development trends.

Indexed as

BiomarkersGenital Diseases, FemaleLipid MetabolismLipidomicsFemaleHumansLipidsBiomarkersLipidscell-cell communicationdiagnosisgynecological diseaseslipidomicsmass spectrometrytreatment

Identifiers

PMID41040853
PMCPMC12483926

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.